جست‌وجوی استاد و پژوهشگر

Yuxuan Sunمشاهده پروفایل

پژوهشگر

• Mobile Edge Computing
• Edge Learning
• Federated Learning
• +۳ مورد دیگر

Yuxuan Sun is a Researcher at Tsinghua University's Department of Electronic Engineering and a visiting researcher at Imperial College London's Intelligent Systems and Networks (ISN) group. She earned a B.S. in Telecommunications Engineering from Tianjin University (2015) and a Ph.D. in Information and Communication Engineering from Tsinghua University (2020). Her research focuses on mobile edge computing, edge learning, and federated learning, with applications in vehicular networks and wireless systems. She has received the Best Student Award from Tsinghua-Intel (2018) and holds roles as an Assistant Editor-in-Chief for IEEE Transactions on Green Communications and Networking and a reviewer for top journals like IEEE TWC and TVT. Her work emphasizes optimizing computation offloading, scheduling policies, and energy efficiency in edge environments. Notable contributions include studies on distributed task replication for vehicular edge computing and mobility-aware federated learning frameworks. She has been recognized with travel grants (e.g., IEEE Comsoc at GLOBECOM 2019) and has collaborated on projects like the 'MEET' framework for green 6G networks. Education: B.S., Tianjin University, Telecommunications Engineering (2015) Ph.D., Tsinghua University, Information and Communication Engineering (2020) Awards: Best Student Award (2018) Grants: IEEE Comsoc Student Travel Grant (GLOBECOM 2019) Her research spans edge computing frameworks, federated learning in constrained environments, and semantic communication for 6G systems. She leads collaborative efforts in labs like Tsinghua's Information Processing and Communications Lab and contributes to industry-academia partnerships.

Ganesh Neelakanta Iyerمشاهده پروفایل

مدرس

• Software Engineering
• Agile Software Development
• Cloud Computing
• +۱۳ مورد دیگر

Ganesh Neelakanta Iyer is a Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD (2012) and MSc (2008) from NUS and a B.Tech. in Computer Science and Engineering from Mahatma Gandhi University, India (2004), where he ranked first. He brings over a decade of industry experience from companies like Salesforce, NXP, and Progress Software, and prior academic roles at Amrita Vishwa Vidyapeetham and IIIT-Hyderabad. His research interests span Software Engineering , Cloud/Edge Computing , Machine Learning , AI for Cultural Heritage , and Software Engineering Education . He founded the STeAdS (Software Engineering and Technological Advancements for Society) research group in 2021, focusing on technology applications in healthcare, education, and traditional arts like Kathakali and Wayang Kulit. The recent publications highlight a strong trend in AI-driven educational technologies , including LLMs for curriculum customization, web-based DevOps learning platforms, and agile project management tools. Another major theme is AI in cultural preservation , with works on Kathakali gesture and facial expression recognition. A third stream involves distributed systems and networking , particularly in edge computing and federated learning. Faculty Teaching Excellence Award 2024, NUS AWS Educate Cloud Faculty Ambassador (2019, 2020) Certified Kubernetes Administrator (CKA) University Topper (First Rank, 2004) NUS Postgraduate Research Scholarship (2009–2012) Dr. Iyer mentors students through UROP, FYP, Master’s, and PhD projects, and has led numerous grants and initiatives in cloud computing education and AI for societal benefit. He has delivered workshops and keynote speeches across the USA, Europe, Australia, and Asia. He actively leads the STeAdS virtual research group, fostering global collaborations. As a maestro in Kathakali, he integrates traditional art with technology, composing and staging performances while applying AI to preserve and analyze this heritage.

• Cooperative Learning
• Reflective Learning
• Sustainable Education
• +۵ مورد دیگر

Dr. Maria Dolores Cañabate Ortiz serves as a Lecturer in the Department of Specific Didactics at the University of Girona, Catalonia, Spain. She is the Principal Investigator of the Research Group GREPAI (Education, Heritage and Arts Intermedia) and Coordinator of the Spanish Network of Cooperative Learning. Her academic work spans physical education, cooperative learning methodologies, and movement-based pedagogy within higher education contexts. Dr. Cañabate's research focuses on two primary areas: (1) Reflective and Cooperative Learning with emphasis on Sustainable Education in Higher Education, where she fosters responsible, critical and active learning approaches; and (2) The languages of movement, exploring how body expression can serve as an educational strategy from an integral perspective. Her work demonstrates how physical education and movement-based approaches can address broader educational goals including emotional regulation, social skills development, and sustainable development. Analysis of her recent publications reveals strong interdisciplinary connections between physical education, sustainable development goals, and innovative teaching methodologies. Her work consistently bridges theoretical educational frameworks with practical classroom applications, particularly in cooperative learning structures. A significant portion of her research examines how movement and physical expression can enhance cognitive development, emotional regulation, and social integration across diverse educational contexts from preschool through university levels. As Principal Investigator of GREPAI, Dr. Cañabate leads research on education, heritage, and intermediate arts. She has developed multiple collaborative projects examining how cooperative learning approaches can foster sustainable development competencies. Her leadership extends to coordinating the Spanish Network of Cooperative Learning, connecting researchers and practitioners across the country. Dr. Cañabate's laboratory work focuses on movement analysis and cooperative learning implementation. Her team employs multimodal approaches to study physical education methodologies, often incorporating video analysis, reflective practice frameworks, and student perception surveys to evaluate educational interventions. Current projects examine how movement-based pedagogies can address educational inequalities and promote sustainable development goals.

Apoorva Chauhanمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Crisis Informatics
• Education Research
• +۳ مورد دیگر

Apoorva Chauhan serves as an Assistant Professor in the Department of Mathematics & Information Technology within the Faculty of Science at Concordia University of Edmonton, specializing in the intersection of technology and human behavior during critical events. Education: Ph.D in Computer Science from Utah State University, USA M.S. in Computer Science from Utah State University, USA B.E. in Computer Science from Lakshmi Narain College of Technology, India Postdoctoral research at David R. Cheriton School of Computer Science, University of Waterloo, Canada Research Focus: Dr. Chauhan's pioneering work bridges Human-Computer Interaction with Crisis Informatics , examining how digital platforms shape disaster response and public communication. Her Education Research investigates technology-mediated learning, particularly through conversational agents and collaborative platforms. Recent projects analyze humor in pandemic communication, trustworthiness of crisis-related social media, and innovative tools like the Curiosity Notebook for learning-by-teaching methodologies. Publication Trends: Her 2017-2023 publications reveal a consistent trajectory in crisis informatics, with increasing focus on social media dynamics during disasters (wildfires, pandemics) and educational technology applications. Key contributions include frameworks for evaluating crisis information trustworthiness, design principles for educational conversational agents, and novel analyses of humor as a communication strategy in high-stress scenarios, all presented at premier venues like CHI, CSCW, and ISCRAM. Scientific Awards: No awards were documented in available sources. Academic Contributions: While specific advising details remain unreported, her research demonstrates significant industry and community impact through partnerships with crisis response organizations. Current projects likely involve securing grants for crisis communication infrastructure and educational technology development, though formal grant documentation wasn't accessible. Research Infrastructure: Collaborative work with Amanda Hughes (Virginia Tech) and Edith Law (University of Waterloo) suggests interdisciplinary team structures, though dedicated labs weren't specified in institutional materials.

Hanako Yoshidaمشاهده پروفایل

استاد

• Developmental Psychology
• Cognitive Neuroscience
• Behavioral Neuroscience
• +۹ مورد دیگر

Dr. Hanako Yoshida is a Professor at the University of Houston, affiliated with the Department of Psychology in the College of Liberal Arts and Social Sciences. She serves as Director of the Cognitive Development Lab, focusing on early attention and language development. Her research bridges developmental psychology, cognitive neuroscience, and behavioral neuroscience to study language acquisition, social attention, and multimodal learning. Education: Ph.D. from Indiana University Affiliations: Cognitive Development Lab, University of Houston Dr. Yoshida’s research explores how infants develop attentional mechanisms through object manipulation, parental scaffolding, and social coordination. She investigates bilingual learning experiences, gaze distribution patterns, and executive function development, with a strong emphasis on autism spectrum disorders and cross-linguistic comparisons. From 2022-2024, her lab has published on head-mounted eye-tracking in ASD research, saliency-driven attention, and parental strategies for attentional development. Earlier work from 2017-2022 examined executive function, verb learning, and attentional highlighting in bilingual and monolingual children, often using computational analysis of infant visual environments. Her publications span journals like Journal of Neurodevelopmental Disorders , Acta Psychologica , and Frontiers in Psychology . Collaborative projects frequently involve international studies (US, Argentina, Vietnam) and interdisciplinary methodologies including head cameras, egocentric video analysis, and behavioral experiments. Key Research Themes: Attentional mechanisms in early learning Parental influence on gaze behavior Bilingualism effects on cognition Autism diagnostic methodologies Executive function across cultures Development of social and cognitive ontologies

Kate Arringtonمشاهده پروفایل

استاد

• Cognitive Psychology
• Cognitive Control
• Human Multitasking
• +۴ مورد دیگر

Kate Arrington is a Professor in the Department of Psychology at Lehigh University, internationally recognized for her research on cognitive control and multitasking. She earned her Ph.D. in Cognitive Psychology from Michigan State University in 2002 and completed an NRSA-funded postdoctoral fellowship at Vanderbilt University before joining Lehigh in 2005. Role: Chair of the Department of Psychology Contact: 610.758.4230 | cma205@lehigh.edu | Chandler-Ullmann room 130 Research Interests: Cognitive psychology, cognitive control mechanisms, human multitasking, and applied cognition. She investigates interactions between stimulus-driven and goal-directed processes in task selection and performance, exploring individual and situational variability in cognitive control. Developed the voluntary task switching paradigm for lab-based studies Applied research in intelligent tutoring systems and multimodal learning interfaces Scientific Awards & Leadership: NIH and NSF grant funding for multitasking and cognitive control research Rotating Program Officer, NSF Perception, Action, and Cognition program (2015-17) Chair, Women in Cognitive Science (from 2021) Director, Lehigh’s Institute for Data, Intelligent Systems, and Computation Teaching: Cognitive Psychology, Cognition in Practice and Policy, Research Methods and Statistics.

Camilla Spalivieroمشاهده پروفایل

پژوهشگر ارشد

• Second Language Acquisition
• Multilingual Education
• Intercultural Education
• +۳ مورد دیگر

Camilla Spaliviero is a Research Fellow at Ca' Foscari University of Venice (SSD: GLOT-01/B), specializing in second language acquisition, multilingual education, and intercultural pedagogy. She holds a PhD in Linguistics from Ca' Foscari, focusing on literary texts in foreign language classrooms. She also teaches Italian as a Second Language (L2) at the University of Bologna, Ferrara, and Turin. Her current Marie Skłodowska-Curie grant (2025–) supports the LATECO project, fostering multilingualism through teacher collaboration, based at the University of Bergen (Norway), with secondments at the University of Graz (Austria) and the University of Copenhagen. Her research emphasizes multilingualism, digital resources, and teacher training. She coordinates the 'Itals Letteratura' project, exploring multimodal and digital tools in L2 education. She is affiliated with several research networks, including the 'Multilingualism on My Mind' (MoMM) group at the University of Bergen and the 'Literature in Language Learning and Teaching Network' (LiLLT ReN). Spaliviero has extensive international experience, including visiting roles at the University of Valencia and Bergen. She is a member of editorial boards for Rassegna Italiana di Linguistica Applicata (RILA) and EL.LE. Educazione Linguistica , and has reviewed for leading journals. Her work integrates literary texts, digital storytelling, and intercultural education to address migrant writers' contributions and multilingual classroom dynamics. Key awards include the Marie Skłodowska-Curie grant (2025–), and her research spans over 45 publications, including monographs and peer-reviewed articles on language pedagogy, teacher training, and literary education. She also trains Italian language teachers internationally and examines for the CEDILS certification.

• Cultural Anthropology
• Digitalization in Everyday Life
• Mathematization of Society
• +۱۲ مورد دیگر

Ina Dietzsch is a full professor and executive director at the Institute for European Ethnology/Cultural Anthropology at Philipps University of Marburg, affiliated with the Faculty of Social Sciences and Philosophy. She leads the Institute for Empirical Cultural Studies and is deeply engaged in interdisciplinary research on digital culture, water, and technology. She also holds a scientific project management role at the University of Basel and FHNW in Switzerland. PhD, Humboldt University of Berlin (2000) Habilitation, University of Basel (2015) W3 Professor, Philipps University of Marburg (2020–present) Her research centers on the digitization and mathematization of nature, with a focus on water practices, ontologies, and narratives. She explores how digital technologies reconfigure human, animal, plant, and technical relations, particularly in agriculture and urban development. Drawing on feminist theorists like Donna Haraway, she critically examines posthuman and cyborg identities, participatory design, and visual communication. The recent publications reflect a strong trend in digital cultural techniques, especially in water and agriculture. Themes include smart water systems in South Africa, posthuman readings of urban water, digital farming methodologies, and the role of visual participation in urban planning. The works combine ethnographic, theoretical, and design-anthropological approaches. Ina Dietzsch is actively involved in academic leadership and collaboration. She is a board member of the Marburg Center for Digital Culture and Infrastructure and the DGEKW Commission on Digitalization in Everyday Life. She co-leads the Critical Icono-Ethnography Lab (CIELab) and the Marburg Water Lab, fostering interdisciplinary and participatory research. She has supervised various research projects funded by the Swiss National Science Foundation and the German Federal Ministry of Education and Research. Her work bridges cultural anthropology, science and technology studies, and design, with a strong emphasis on public engagement and collaborative knowledge production.

Birgitte Stougaard Pedersenمشاهده پروفایل

دانشیار

• Sound Studies
• Literature
• Digital Culture
• +۱۲ مورد دیگر

Birgitte Stougaard Pedersen is an Associate Professor in the Department of Aesthetics and Culture at the School of Communication and Culture, Aarhus University. She is actively engaged in research, leadership, and public scholarship, currently serving as Head of the Research Program 'Arts, Aesthetics, Communities' and Head of the Center for Literature Between Media. Her work bridges literature, sound, digital culture, and phenomenology. Her research interests include: Sound and aesthetic experience Digital audiobooks and voice Multisensory reading practices Phenomenological literary analysis Poetry slam and performance Media studies and medialization Recent publications reflect a strong trend in exploring how digital technologies transform reading and listening, particularly in children’s education. Her work integrates theoretical depth with empirical studies, often in collaborative, interdisciplinary settings. Themes such as rhythm, resonance, voice, and embodiment recur across her scholarship, showing a consistent focus on the sensory and affective dimensions of literature and media. Scientific recognition includes: AIAS Carlsberg Monograph Fellow (2025–2026) She has served as Principal Investigator on major projects like 'Reading Between Media,' funded by the Novo Nordisk Foundation, and has advised student bachelor projects. Her editorial roles include contributions to Resonance: Journal of Sound and Culture and Barnbogen . She is also active in public engagement through press and media contributions. She is involved in several research groups and networks, including 'Lydgruppen' and international collaborations with VIA University College and Malmö University, reflecting a strong commitment to interdisciplinary and cross-institutional research.

• Human-Computer Interaction
• Data Visualization
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Alvitta Ottley is an Assistant Professor in the Department of Computer Science & Engineering at Washington University in St. Louis, with a courtesy appointment in the Department of Psychological & Brain Sciences. Her research focuses on interdisciplinary approaches to visualization systems, machine learning, and cognitive science to enhance decision-making in healthcare, intelligence analysis, and scientific discovery. She leads the AIR-D Summer Science Camp, a program aimed at underrepresented high school students in STEM. Education: PhD and MS in Computer Science from Tufts University (2016, 2013). Research Interests: Developing adaptive visualization systems that account for users' cognitive traits and goals. Her work integrates AI-driven insights with human factors to create context-aware interfaces. Recent studies explore trust dynamics in visualizations, cross-cultural visualization literacy, and the impact of chart types on legal decision-making. Awards: NSF CRII Award (2018), NSF Career Award, EuroVis Early Career Award (2022), and multiple best paper recognitions at top visualization conferences. Grants & Advising: Active in mentoring students and securing grants such as the NSF CAREER Award for context-aware systems. Her work on medical decision-making visualization received NSF support in 2018. Labs & Teams: Affiliated with the Division of Computational & Data Sciences and the Center for Trustworthy AI in CPS, focusing on ethical AI integration in visual analytics.

• Digital Photogrammetry
• Computer Vision
• Geospatial Imaging
• +۱۰ مورد دیگر

Dr. Jackson David Cothren is a Professor in the Department of Geosciences at the University of Arkansas, where he also serves as the Leica Geosystems Chair in Geospatial Imaging. He holds dual leadership roles as Director of the Center for Advanced Spatial Technologies (CAST) and the Arkansas High Performance Computing Center (HPCC). His academic affiliations are deeply rooted in geospatial science, computer vision, and high-performance computing, bridging engineering and environmental applications. Ph.D. in Geodetic Science and Surveying, The Ohio State University M.S. in Geodetic Science and Surveying, The Ohio State University B.S. in Applied Mathematics, United States Air Force Academy Dr. Cothren's research spans digital photogrammetry, computer vision, UAV-based geospatial monitoring, and spatial archaeometry. He investigates non-traditional sensor modeling, feature extraction, surface generation, and integration with enterprise geospatial systems. His work increasingly incorporates deep learning, transformer models, and AI-driven analytics for applications in renewable energy, autonomous systems, and environmental sustainability. His recent publications highlight innovations in solar PV profiling, aerial image segmentation, and fairness-aware domain adaptation. The trends in his recent scholarly output reflect a strong shift toward machine learning and AI in geospatial analysis, particularly using transformer architectures for high-resolution imaging and cross-domain adaptation. His work integrates Lidar, GPS, and InSAR for deformation monitoring and leverages HPC for large-scale data processing. Applications span archaeology, agriculture, transportation, and energy infrastructure. Dr. Cothren has received numerous competitive grants from NSF, NEH, and USDA, supporting interdisciplinary research in geospatial analytics, smart transportation, and cultural heritage. His projects emphasize data-driven decision-making, community engagement, and workforce development in geospatial technologies. Principal Investigator, NSF E-RISE Rll: Arkansas Smart Transportation Research Incubator (2025–2029) Lead, RII Track-1: DART – Data Analytics that are Robust and Trusted (NSF, 2020–2025) Director, OPEN-GATE: Expanding Geospatial Education (NSF, 2016–2020) He mentors a broad interdisciplinary team and leads collaborative research initiatives involving computer vision, environmental science, and archaeology. His labs and research centers—CAST and HPCC—serve as hubs for innovation in spatial technologies, high-performance computing, and data-intensive research across the university and beyond. These centers support large-scale projects in archaeo-geophysics, UAV monitoring, and enterprise GIS integration.

• Computational Neuroscience
• Robotics
• Machine Learning
• +۳ مورد دیگر

Florentin Wörgötter is a faculty member at the Department for Computational Neuroscience , Georg August University of Göttingen, Germany. His research bridges robotics , computational neuroscience , and machine learning , focusing on action prediction, neural networks, and human-robot interaction. Key Research Areas : Action segmentation, semantic decomposition of manipulation sequences, 3D object reconstruction, and sensor fusion for infant movement classification. Recent Trends : Combining task-dependent learning with optimal path search, using foundation models for graph-based action recognition, and improving CNN interpretability through influence functions. He collaborates extensively with researchers like Minija Tamosiunaite , Tomas Kulvicius , and Poramate Manoonpong , contributing to journals such as NeuroImage , Robotics and Autonomous Systems , and IEEE Transactions on Neural Networks . His work often integrates deep learning , semantic reasoning , and biologically inspired models for robotic applications.

• Human-Computer Interaction
• Sound Design
• Embodied Music Interaction
• +۳ مورد دیگر

Balandino Di Donato is a Lecturer in interactive audio at Edinburgh Napier University's School of Computing Engineering and the Built Environment. His research focuses on soundscapes in mountaineering environments and embodied human-computer interaction in music. He led AHRC-funded projects on Sound Design Pipeline for Cross-platform 360 Virtual Productions BSL in Embodied Music Interaction and chaired the Audio Mostly 2023 conference. Education includes a 2021 PhD from Royal Birmingham Conservatoire (Birmingham City University) in Designing Embodied Human-Computer Interactions in Music Performance . Prior academic roles featured collaborations with Goldsmiths (ERC BioMusic project), De Montfort University (Creative AI Dataset), and University of Leicester (INCITE project). Research spans Mountain soundscape analysis Accessible audio-visual-haptic systems Biosignal-driven musical instruments 360 audio design British Sign Language integration Interactive sound art installations Scientific achievements include Biennale awards (2018, 2019) Audio Mostly steering committee Conference chair and session roles EPSRC and AHRC grant reviewer

Ziang Xiaoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Natural Language Processing
• Human-AI Interaction
• +۵ مورد دیگر

Ziang Xiao is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering and a member of the Data Science and AI Institute. His research bridges human-computer interaction, natural language processing, and social psychology to understand human behavior at scale through AI systems. His educational background includes a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (co-advised by Prof. Hari Sundaram and Prof. Karrie Karahalios), where he also earned dual Bachelor's degrees in Psychology and Statistics & Computer Science under Prof. Dov Cohen. Prior to joining JHU, he was a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics group at Microsoft Research Montréal. Xiao's research focuses on three interconnected areas: AI for Social Science (using LLMs to simulate human behavior), Human-centered Model Evaluation (developing frameworks like ECBD for evidence-centered benchmark design), and Information Seeking (studying how AI systems affect information diversity). His work emphasizes democratizing technology to operationalize human intuitions about behavior and decision-making, with notable contributions to LLM evaluation metrics and ethical AI design. Analysis of his recent publications reveals a strong trend toward human-centered AI evaluation, with increasing focus on LLM safety, value alignment, and interdisciplinary applications across social science domains. His work consistently appears in top-tier venues including CHI, ACL, and NeurIPS, with a 2024 CHI Best Paper Award for research on LLM-powered search systems. Best Paper Award at CHI 2024 for 'Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking' Multiple publications in ACM/IEEE flagship conferences (CHI, ACL, NeurIPS) Research featured in Johns Hopkins news for social robot interruption handling and chatbot bias studies Xiao actively advises doctoral students and postdocs, with current advisees including Yu Lu Liu, Nikhil Sharma, and Han Jiang. His teaching includes graduate courses on Human-Computer Interaction and Advanced HCI Research Methods. He co-leads research initiatives at the intersection of AI and social science, collaborating with the Data Science and AI Institute to develop frameworks for responsible AI deployment. Current projects examine LLM vulnerabilities in GUI agents, multilingual information disparities, and adaptive decision support systems that balance automation with user control.

Hu Caoمشاهده پروفایل

پژوهشگر

• Autonomous Driving
• Robotic Grasping
• Medical Image Analysis
• +۵ مورد دیگر

Hu Cao is a postdoctoral research associate at the Chair of Robotics, Artificial Intelligence and Real-Time Systems (Prof. Alois Knoll) at the Technical University of Munich (TUM) . Holding a Ph.D. from TUM, his research bridges autonomous driving , robotic grasping , medical image analysis , and dense prediction (classification, detection, segmentation). Education : Ph.D. from TUM Hu's work explores: Autonomous Driving : Perception under adverse conditions, multi-sensor fusion, and risk-based safety models Robotic Grasping : Vision-language integration for 6D pose estimation Medical Imaging : Transformer-based segmentation techniques (e.g., Swin-Unet) His recent publications include 15+ works at top venues like CVPR , ICCV , IEEE TPAMI , and IEEE TIV , with 6052+ Google Scholar citations . Notably, Swin-Unet ranks among the top 3 most cited ECCV papers in 5 years, and his work on event-based autonomous driving perception was featured in IEEE Xplore Innovation Spotlight . Editorial roles include: Associate Editor for Visual Intelligence and Frontiers in Neurorobotics Editorial Board member of Artificial Intelligence and Autonomous Systems (AIAS) Topic Editor for Frontiers in Robotics and AI and Frontiers in Neuroscience He has reviewed for 20+ top journals (e.g., Nature Computational Science , IEEE TRO ) and served on program committees for NeurIPS , CVPR , ICCV , and MICCAI .